Evaluating epistatic interaction signals in complex traits using quantitative traits.

ABSTRACT: Rheumatoid arthritis (RA) is a complex, chronic inflammatory disease implicated to have several plausible candidate loci; however, these may not account for all the genetic variations underlying RA. Common disorders are hypothesized to be highly complex with interaction among genes and other risk factors playing a major role in the disease process. This complexity is further magnified because such interactions may be with or without a strong independent effect and are thus difficult to detect using traditional statistical methodologies. The main challenge to analyze such gene x gene and gene x environment interaction is attributed to a phenomenon referred to as the "curse of dimensionality." Several combinatorial methodologies have been proposed to tackle this analytical challenge. Because

SUBMITTER: Mukherjee O 

PROVIDER: S-EPMC2795985 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature